Original scientific paper

Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control

Zhenfeng Xiao ; School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Rongxiang Yuan ; School of Electrical Engineering, Wuhan University, Wuhan 430072, P. R. China
Yilong Chen ; School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Qijuan Chen ; School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Xiangtian Deng ; School of Electrical Engineering, Wuhan University, Wuhan 430072, P. R. China

Abstract

In this paper, the configuration characteristic of shunt active power filter (SAPF) with split-capacitor was analysed, as well as its principle diagram and control module. In order to improve the dynamic performance of a control system and elevate dynamic response, a combination strategy based on dual-repetitive controller (DRC) and adaptive PI control is presented. In DRC, one repetitive controller is for ensuring the current tracking accuracy and the other one is for enhancing dynamic response. The neural network PI control is adopted to improve response speed by turning the PI parameters adaptively, setting parameters K'x and K'y online. This control strategy was applied on industrial prototype simulation and field test. Comparing with the conventional control strategy, the experimental result shows that system compensation could effectively reduce the total harmonic distortion (THD) values from 26,02 %, 27,76 % and 27,60 % to 4,25 %, 4,57 % and 4,35 % for each phase of the current. And the full response time is all less than 10 ms, fully meeting the standard of IEEE-519.

Keywords

adaptive PI control; Dual-Repetitive Controller (DRC); dynamic response; Shunt Active Power Filter (SAPF)

Hrčak ID:

123320

URI

https://hrcak.srce.hr/123320

Publication date:

24.6.2014.

Article data in other languages: croatian

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